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Cardiac disease detection and diagnosis using non-contrast chest CT

Detection and diagnosis of cardiac diseases based on non-contrast chest CT scans

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600124626
Enrollment
Unknown
Registered
2026-05-14
Start date
2025-06-01
Completion date
Unknown
Last updated
2026-05-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Including the following eight cardiovascular diseases: cardiomegaly, pericardial effusion, coronary artery disease, hypertension, hypertrophic cardiomyopathy, dilated cardiomyopathy, myocarditis, and pericarditis.

Interventions

Gold Standard:Diagnostic criteria: Patients must exhibit clear symptoms or signs of cardiovascular disease, such as chest pain, palpitations, dyspnea, fatigue, or other clinical manifestations associa
Index test:The model was trained and optimized using a 5-fold cross-validation strategy. From the training data, 80% was randomly selected for training and 20% for preliminary validation. The evaluati

Sponsors

Shanghai Tenth People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Adult patients aged 18 years or older; 2.Underwent non-contrast chest CT (NCCT) scans with image quality meeting diagnostic requirements;

Exclusion criteria

Exclusion criteria: 1.Suboptimal CT imaging quality due to motion-induced blurring, metallic streak artifacts, and inadequate spatial resolution (slice thickness exceeding 10mm); 2.Absence of either CT datasets or confirmed CVD diagnoses; 3.Significant non-CVD comorbidities (e.g., biopsy-confirmed lung adenocarcinoma) potentially obscuring primary cardiovascular diagnoses;

Design outcomes

Primary

MeasureTime frame
Accuracy of AI models in diagnosing heart diseases;Precision of AI models in diagnosing heart diseases;AUC value of AI models in diagnosing heart diseases;

Secondary

MeasureTime frame
F1 Score of AI models in diagnosing heart diseases;Sensitivity of AI models in diagnosing heart diseases;Specificity of AI models in diagnosing heart diseases;

Countries

China

Contacts

Public ContactDan Mu

Shanghai Tenth People's Hospital

mudan118@126.com+86 21 66301604

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: May 22, 2026